Data Management Lead

Data Management Lead

Location:

Direct Responsibilities
• Data Governance & Data Reference Frameworks: Manage data reference frameworks (application data dictionaries) using the internal data cataloging tool (WeData based on Collibra). You ensure comprehensive documentation of key data (shared definitions, metadata, owners) and proper alignment of technical and business frameworks. • Modeling & Data Lineage: Collaborate closely with project teams and the IT Data Manager to ensure the design of application data models, guaranteeing their consistency and completeness in line with business needs. You ensure documentation and maintenance of data traceability across all flows (data lineage), providing end-to-end visibility of every critical data point from its source to its consumption (a prerequisite for managing risks and ensuring compliance). • Data Quality: Ensure the implementation and execution of data quality control plans defined by the business, by steering continuous improvement action plans dedicated to critical data. As an expert, you share your analyses and recommendations to improve data quality and strengthen trust in their use. • Operational support & continuous improvement: Supporting and raising awareness among technical and business teams on a daily basis on Data topics: training in the use of governance tools (data dictionary, data flow mapping), advice on good data management practices, and responses to specific requests. You propose solutions to continuously improve data resilience and integrity, and contribute to the optimization of governance processes. • KPI Data Management: Contributing to the production of the Data Management Dashboard.

Contributing Responsibilities
• Ability to drive and contribute to Data projects (quality, security, architecture, etc.) in a cross-functional manner, in a complex environment. • Strong analytical and problem-solving skills, with a sense of rigor to formalize and document results (reports, traceability matrices).

Technical & Behavioral Competencies
• Data Modeling & Management Mastery of conceptual, logical, and physical data models; strong knowledge of databases and data integration technologies (ETL/ELT, data pipelines). • Data Catalogue & Data Lineage Practical experience with a cataloging/metadata tool (ideally weData/Collibra or equivalent) to manage data dictionaries. Solid understanding of data lineage principles and ability to document data flow traceability. • Data Quality & Compliance Knowledge of data quality standards and methods, as well as experience in implementing quality controls. Awareness of regulatory compliance issues (GDPR), data governance and security. • Data Visualization: Hands-on experience with a Data Visualization tool (Power BI, Tableau...) • Excellent communication skills, able to simplify Data issues and train/evangelize various stakeholders (IT teams, business units, management). • Team spirit and ease in collaboration with multiple players (IT Data Manager, developers, business referents, Security teams). • Autonomy, proactivity and ability to propose improvements to continuously enhance data governance processes. • Strong interest in data quality and enhancement, with a strong sense of ethics and confidentiality

Specific Qualifications:
• Minimum experience of 6 - 9 years in a function related to data management (Data Governance, Data Quality, Data Analyst/Engineer where there is a governance dimension). • Bachelor's Degree or Higher education (Engineer or Master 2) in computer science, data management or related field.

Skills Referential (Required knowledge, skills and abilities)
Other Skills: - Good Verbal and written communication - Knowledge of banking products is a nice to have - Proactive mindset Behavioral Skills: o Problem solving skill o Analytical Ability o Team Player